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Buffer engagement report

@buffer - 915K followers on X

Measured over 15 original posts from a 30-day window, last computed on August 28, 2026.

Engagement

Bottom quarter for its size
Per follower
0.002%
of 915K followers
Per impression
0.389%
5.1K views on a typical post
Reach
0.56%
of its followers see a post
Typical post
20
interactions (median)
Saved
0.058%
3 bookmarks on a typical post
Posting rate
0.83/day
active 60% of days
Peak time
12:00 UTC
Wednesday

A typical post picks up 20 interactions against 915K followers, an engagement rate of 0.002%. Measured over 15 original posts, its engagement rate beats 18% of 3,774 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.1K times each, and 0.389% of those impressions turn into an interaction. That is about 0.562% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 12:00 UTC, and Wednesday is the busiest day of the week. Of the 15 posts sampled, 93% carry an image or video, 27% are part of a thread and 13% link out. The account's strongest tracked post pulled 21K interactions, about 1043x its own typical post. Recurring topics include #bufferbuildweek, #buildinpublic.

Measured over 15 original posts from a 30-day window, last computed on August 28, 2026. Recurring tags: #bufferbuildweek, #buildinpublic.

Compared with accounts its own size

Buffer's engagement rate beats 18% of the tracked X accounts closest to it in follower count (3,774 accounts, accounts of similar size (decile 9 of 10)). A percentile is spread evenly by construction, so 50 really is the middle of that group and 90 really is its top tenth.

On engagement per impression rather than per follower it beats 27% of the same group. When those two numbers disagree, the gap is about how far its posts travel rather than how people react to them.

Where this sits in the catalog

At 0.002%, Buffer sits above the 10th percentile of the 36,521 accounts in this comparison. That places it in the bottom 25% band, which runs below 0.012%.

p100.002%
p250.012%
p50 (median)0.08%
p750.434%
p902.10%
p99160.7%
Engagement rate as a share of followers, across the 36,521 accounts we have scanned enough to measure. The axis is logarithmic, because the top and bottom of this population are about 107,166 times apart and a linear axis would flatten everything below the median into a single point.
Show the percentile table
Engagement rate percentiles
PercentileEngagement rate
10th percentile0.002%
25th percentile0.012%
50th percentile0.08%
75th percentile0.434%
90th percentile2.10%
99th percentile160.7%

This ruler is the whole measured catalog, not a size-matched group: it shows where the raw rate falls across every account we can measure, all of which are large. For a like-for-like comparison, read the size-band percentile above instead. See how the bands are built

Posting timing

This account posts most often around 12:00 UTC, and Wednesday is its busiest day of the week. The bars below are the catalog-wide pattern, with this account's own busiest slot marked. They do not show how this account performs at each hour: we keep one aggregate per account, not one per hour, so that measurement does not exist in our data.

Engagement by hour posted, UTCTwenty-four bars, one per UTC hour. Each bar shows how posts published in that hour compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest hour: 12:00 UTC.
0003060912151821
Above the authors' own mediansBelowScale: plus or minus 6%Busiest hour: 12:00 UTC
Show engagement by hour posted, utc as a table
Engagement by hour posted, UTC
Hour (UTC)Vs author medianPosts
00:00 UTC-1%50K
01:00 UTC-2%51K
02:00 UTC-3%50K
03:00 UTC-4%53K
04:00 UTC-6%43K
05:00 UTC-4%42K
06:00 UTC-4%48K
07:00 UTC-5%52K
08:00 UTC-4%60K
09:00 UTC-3%69K
10:00 UTC-2%72K
11:00 UTC-3%78K
12:00 UTC-2%86K
13:00 UTC-2%94K
14:00 UTC-4%97K
15:00 UTC-2%100K
16:00 UTC-3%97K
17:00 UTC-2%90K
18:00 UTC-1%84K
19:00 UTC-2%79K
20:00 UTC-1%74K
21:00 UTC-1%66K
22:00 UTC-2%57K
23:00 UTC-2%51K
Engagement by day of weekSeven bars, one per weekday, Sunday first. Each bar shows how posts published on that day compare with their own authors' median engagement. Bars above the centre line ran higher than the median, bars below ran lower. A marker flags Busiest day: Wednesday.
SunMonTueWedThuFriSat
Above the authors' own mediansBelowScale: plus or minus 5%Busiest day: Wednesday
Show engagement by day of week as a table
Engagement by day of week
DayVs author medianPosts
Sunday+4%230K
Monday0%286K
Tuesday-2%276K
Wednesday-1%251K
Thursday-1%244K
Friday-3%252K
Saturday+3%227K
See what moves engagement across the whole catalogWhat counts as a good engagement rate at this size

Best tweets

  • Jun 2, 20261043x their median

    Commentary is one of the most important pillars of X. And sometimes the best way to share your thoughts is with video. Today we're launching a whole new way to make them: React with Video Tap the repost button and start recording with green screen, split screen, or picture-in-picture. Now available on iOS

    14K1.5K3.6K2.3K8.1M viewsView on X
  • Jul 1, 2026707x their median

    Today we're announcing Live Studio, a brand new livestreaming command center on X X is where everything is happening now. So we're launching the best tools for pro streamers to go live, connect with their followers & manage their streams Check it out on 𝕏.com in Creator Studio https://t.co/B06MLScFj9

    10K1.2K1.9K8552.4M viewsView on X
  • Jun 29, 20268.3x their median

    We've recently shifted our AI strategy at Buffer. Rather than packing AI features into the product, our focus is making Buffer great to use with AI. It's about flexibility, interoperability and extensibility. We're making Buffer delightful to use and build upon.

    1251027513K viewsView on X
  • Jul 22, 20262.9x their median

    Insights is our new analytics suite. It pulls your performance together across every channel and gives you takeaways in plain language, plus client-ready reports. Whether you're a solo creator or a multi-brand agency, it's available on every plan, including free. Quick demo from @Mike_Eck πŸ‘‡

    1732714.6K viewsView on X
  • Jun 15, 20262.8x their median

    Got posts accessible to Siri AI in @buffer. As Buffer doesn’t fit within any of Apple’s App Schema Domains, it’s still not entirely clear to me what’s possible from here. https://t.co/tPVI8EjlSA

    4726113K viewsView on X
  • Aug 12, 20262.3x their median

    Buffer is now a connector in Claude! πŸŽ‰ Ask "what were my top posts this month?" β†’ real data from your account β†’ ask for three more like them β†’ drafts appear in your Buffer queue. 11 channels. Setup takes seconds! πŸ”— Connect here: https://t.co/Rd9LlqFfVX https://t.co/KKr67ywiYh

    2713516.4K viewsView on X
  • Jul 15, 20261.7x their median

    As of today, you have access to Insights in Buffer! Your numbers can tell you a lot, but not always what to do with them. Buffer Insights helps close that gap. It reads what's working across your channels and suggests what to try next, you can act on right away. https://t.co/lov8GWaysF

    923203.0K viewsView on X
  • Jul 21, 20261.6x their median

    The team at @buffer is really leading the pack with its employees as creators initiative. I I think we're going to see a lot more of this in the future! https://t.co/sehsED0SA2

    231813.7K viewsView on X
  • Jul 7, 20261.6x their median

    We analyzed 52 million posts across every major social media platform to find the best time to post in 2026. The data threw up some genuinely surprising patterns... πŸ‘€ https://t.co/y9ezl7uKmf

    1314502.9K viewsView on X
  • Jun 18, 20261.6x their median

    Thank you to all the builders using the Buffer API! πŸ‘ We have a live dashboard of API metrics at buffer dot com slash api-metrics πŸ‘€ https://t.co/rb6w7utgWC

    919312.6K viewsView on X

Ranked by total interactions across everything we have tracked for this account, which is a longer history than the 30-day window the rates above use. The multiple compares each post to this account's own median.

Recurring topics

#bufferbuildweek#buildinpublic

The most frequent hashtags in the sampled posts. They describe what this account writes about; they are not a performance signal, and the catalog-wide breakdown on the hub shows how little hashtag count moves.

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Reading these numbers

A typical post picks up 20 interactions against 915K followers, an engagement rate of 0.002%. Measured over 15 original posts, its engagement rate beats 18% of 3,774 tracked accounts of a similar size. That is a reason to look at how the audience behaves - reply depth, saves, whether the followers are recent - rather than a conclusion about it on its own. Posts are seen about 5.1K times each, and 0.389% of those impressions turn into an interaction. That is about 0.562% of the follower count, which is the gap between an audience on paper and an audience in a timeline. Posting runs at about 0.83 post a day over the last 30 days, with activity on roughly 60% of days. Most posts go out around 12:00 UTC, and Wednesday is the busiest day of the week. Of the 15 posts sampled, 93% carry an image or video, 27% are part of a thread and 13% link out. The account's strongest tracked post pulled 21K interactions, about 1043x its own typical post. Recurring topics include #bufferbuildweek, #buildinpublic.

What is Buffer's engagement rate on X?
Buffer (@buffer) has an engagement rate of 0.002%, based on the median interactions across 15 original posts from the last 30 days against 914,935 followers. Replies, reposts and quote-posts of other people are excluded from that sample.
Is that a good engagement rate?
At 0.002%, Buffer sits above the 10th percentile of the 36,521 accounts in this comparison. Those comparison accounts are all large ones, because our scanning cadence is weighted towards big accounts, so this is a ranking among peers of similar scale rather than a ranking across X.
Does @buffer have real engagement?
Its engagement rate beats 18% of the tracked X accounts closest to it in follower count (3,774 accounts), which puts it in the bottom quarter for its size group. Ranking inside a size band matters because engagement rate falls as accounts grow, so a raw rate would mostly re-measure the follower count. It is a starting point for a look at follower quality, not a verdict on it.
When does @buffer post?
Most posts go out around 12:00 UTC, and Wednesday is its busiest day, at roughly 0.83 posts per day across the measured window.

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